David Smith

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Researcher with public evidence across NLP & language, AI research, Compute & infrastructure.

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Associate professor of computer science at Northeastern University. Natural language processing, digital humanities, OCR, computational bibliography, and computational social sciences. Artificial intelligence is an archival science.

Articles & links

David Smith reposted
Ted Underwood @tedunderwood.com

Paper: arxiv.org/abs/2609.23178 Code: github.com/Historical-A... Team: Ted Underwood, Ziliang Qiu, Laura K. Nelson @lauraknelson.bsky.social, Sarah Griebel @sgriebel.bsky.social, Edwin Roland @teddyroland.bsky.social, Wenyi Shang @wenyishang.bsky.social , Matthew Wilkens @matt…

Chronologic: Measuring Language Models' Ability to Represent the Past arxiv.org
AI Weekly's analysis
  • The Chronologic benchmark evaluates language models on English-language contexts from 1831 to 1930 using pairwise comparisons and strong distractors.
  • Generative tasks proved harder than discriminative ones, and reasoning models could typically identify weaknesses in their own generated answers.
  • Models pretrained only on historical text led on answer likelihood but could not match commercial models in free generation.
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